Docking applied to the prediction of the affinity of compounds to p-glycoprotein
- Autores
- Palestro, Pablo Hernán; Gavernet, Luciana; Estiú, Guillermina; Bruno Blanch, Luis Enrique
- Año de publicación
- 2014
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- P-glycoprotein (P-gp) is involved in the transport of xenobiotic compounds and responsible for the decrease of the drug accumulation in multi-drug-resistant cells. In this investigation we compare several docking algorithms in order to find the conditions that are able to discriminate between P-gp binders and nonbinders. We built a comprehensive dataset of binders and nonbinders based on a careful analysis of the experimental data available in the literature, trying to overcome the discrepancy noticeable in the experimental results. We found that Autodock Vina flexible docking is the best choice for the tested options. The results will be useful to filter virtual screening results in the rational design of new drugs that are not expected to be expelled by P-gp.
Facultad de Ciencias Exactas - Materia
-
Química
P-Glycoprotein
ATP-Binding Cassette Transporters
Nucleotide binding - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- http://creativecommons.org/licenses/by-nc-sa/4.0/
- Repositorio
- Institución
- Universidad Nacional de La Plata
- OAI Identificador
- oai:sedici.unlp.edu.ar:10915/85173
Ver los metadatos del registro completo
id |
SEDICI_ac794b3f2c8ba7c947a8fb92c6575e9f |
---|---|
oai_identifier_str |
oai:sedici.unlp.edu.ar:10915/85173 |
network_acronym_str |
SEDICI |
repository_id_str |
1329 |
network_name_str |
SEDICI (UNLP) |
spelling |
Docking applied to the prediction of the affinity of compounds to p-glycoproteinPalestro, Pablo HernánGavernet, LucianaEstiú, GuillerminaBruno Blanch, Luis EnriqueQuímicaP-GlycoproteinATP-Binding Cassette TransportersNucleotide bindingP-glycoprotein (P-gp) is involved in the transport of xenobiotic compounds and responsible for the decrease of the drug accumulation in multi-drug-resistant cells. In this investigation we compare several docking algorithms in order to find the conditions that are able to discriminate between P-gp binders and nonbinders. We built a comprehensive dataset of binders and nonbinders based on a careful analysis of the experimental data available in the literature, trying to overcome the discrepancy noticeable in the experimental results. We found that Autodock Vina flexible docking is the best choice for the tested options. The results will be useful to filter virtual screening results in the rational design of new drugs that are not expected to be expelled by P-gp.Facultad de Ciencias Exactas2014info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionArticulohttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfhttp://sedici.unlp.edu.ar/handle/10915/85173enginfo:eu-repo/semantics/altIdentifier/issn/2314-6133info:eu-repo/semantics/altIdentifier/doi/10.1155/2014/358425info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/4.0/Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-09-10T12:19:04Zoai:sedici.unlp.edu.ar:10915/85173Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-09-10 12:19:04.853SEDICI (UNLP) - Universidad Nacional de La Platafalse |
dc.title.none.fl_str_mv |
Docking applied to the prediction of the affinity of compounds to p-glycoprotein |
title |
Docking applied to the prediction of the affinity of compounds to p-glycoprotein |
spellingShingle |
Docking applied to the prediction of the affinity of compounds to p-glycoprotein Palestro, Pablo Hernán Química P-Glycoprotein ATP-Binding Cassette Transporters Nucleotide binding |
title_short |
Docking applied to the prediction of the affinity of compounds to p-glycoprotein |
title_full |
Docking applied to the prediction of the affinity of compounds to p-glycoprotein |
title_fullStr |
Docking applied to the prediction of the affinity of compounds to p-glycoprotein |
title_full_unstemmed |
Docking applied to the prediction of the affinity of compounds to p-glycoprotein |
title_sort |
Docking applied to the prediction of the affinity of compounds to p-glycoprotein |
dc.creator.none.fl_str_mv |
Palestro, Pablo Hernán Gavernet, Luciana Estiú, Guillermina Bruno Blanch, Luis Enrique |
author |
Palestro, Pablo Hernán |
author_facet |
Palestro, Pablo Hernán Gavernet, Luciana Estiú, Guillermina Bruno Blanch, Luis Enrique |
author_role |
author |
author2 |
Gavernet, Luciana Estiú, Guillermina Bruno Blanch, Luis Enrique |
author2_role |
author author author |
dc.subject.none.fl_str_mv |
Química P-Glycoprotein ATP-Binding Cassette Transporters Nucleotide binding |
topic |
Química P-Glycoprotein ATP-Binding Cassette Transporters Nucleotide binding |
dc.description.none.fl_txt_mv |
P-glycoprotein (P-gp) is involved in the transport of xenobiotic compounds and responsible for the decrease of the drug accumulation in multi-drug-resistant cells. In this investigation we compare several docking algorithms in order to find the conditions that are able to discriminate between P-gp binders and nonbinders. We built a comprehensive dataset of binders and nonbinders based on a careful analysis of the experimental data available in the literature, trying to overcome the discrepancy noticeable in the experimental results. We found that Autodock Vina flexible docking is the best choice for the tested options. The results will be useful to filter virtual screening results in the rational design of new drugs that are not expected to be expelled by P-gp. Facultad de Ciencias Exactas |
description |
P-glycoprotein (P-gp) is involved in the transport of xenobiotic compounds and responsible for the decrease of the drug accumulation in multi-drug-resistant cells. In this investigation we compare several docking algorithms in order to find the conditions that are able to discriminate between P-gp binders and nonbinders. We built a comprehensive dataset of binders and nonbinders based on a careful analysis of the experimental data available in the literature, trying to overcome the discrepancy noticeable in the experimental results. We found that Autodock Vina flexible docking is the best choice for the tested options. The results will be useful to filter virtual screening results in the rational design of new drugs that are not expected to be expelled by P-gp. |
publishDate |
2014 |
dc.date.none.fl_str_mv |
2014 |
dc.type.none.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Articulo http://purl.org/coar/resource_type/c_6501 info:ar-repo/semantics/articulo |
format |
article |
status_str |
publishedVersion |
dc.identifier.none.fl_str_mv |
http://sedici.unlp.edu.ar/handle/10915/85173 |
url |
http://sedici.unlp.edu.ar/handle/10915/85173 |
dc.language.none.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
info:eu-repo/semantics/altIdentifier/issn/2314-6133 info:eu-repo/semantics/altIdentifier/doi/10.1155/2014/358425 |
dc.rights.none.fl_str_mv |
info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by-nc-sa/4.0/ Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) |
eu_rights_str_mv |
openAccess |
rights_invalid_str_mv |
http://creativecommons.org/licenses/by-nc-sa/4.0/ Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) |
dc.format.none.fl_str_mv |
application/pdf |
dc.source.none.fl_str_mv |
reponame:SEDICI (UNLP) instname:Universidad Nacional de La Plata instacron:UNLP |
reponame_str |
SEDICI (UNLP) |
collection |
SEDICI (UNLP) |
instname_str |
Universidad Nacional de La Plata |
instacron_str |
UNLP |
institution |
UNLP |
repository.name.fl_str_mv |
SEDICI (UNLP) - Universidad Nacional de La Plata |
repository.mail.fl_str_mv |
alira@sedici.unlp.edu.ar |
_version_ |
1842904177002414080 |
score |
12.993085 |